Navigation ...
|
|
|
Scientific Writing ...
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Other Writing ...
|
|
|
|
|
|
Reference details
Author(s)
| Year
| Title
| Reference
| View/Download
|
G Hampson , Hargreaves N., Jakubowicz H, Williams G, Hatton L. | 2021a | Open Collaboration, Data Quality, and COVID-19 | IEEE Software, May 2021, DOI:10.1109/MS.2021.3056642 | No downloadable files available yet |
Synopsis and invited feedback
This work was or is being reviewed by domain-specific experts appointed independently.
If you would like to provide feedback just e-mail me here.
Synopsis
| Invited Feedback
| Importance (/10, author rated :-) )
|
The flavor of this "Impact" department is somewhat different. In a pandemic, everybody has to come together. In April 2020, a call went out in the United Kingdom for groups to informally form and collaborate to study this brutal pathogen in whatever way they could. The five authors of this article, old friends from the geophysical industry with decades of experience in numerical modeling and big data, formed such a group. | None yet | 8 |
Related links
Related papers and links
|
Sorry, no links registered in database yet. |
Auto-generated: $Revision: 1.63 $, $Date: 2020/01/25 16:18:09 $, Copyright Les Hatton 2001-
|